Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Acceptability of machine-translated content: a multi-language evaluation by translators and end-users

Castilho, Sheila orcid logoORCID: 0000-0002-8416-6555 and O'Brien, Sharon orcid logoORCID: 0000-0003-4864-5986 (2017) Acceptability of machine-translated content: a multi-language evaluation by translators and end-users. Linguistica Antverpiensia, New Series: Themes in Translation Studies, 16 . pp. 120-136. ISSN 2295-5739

Abstract
As machine translation (MT) continues to be used increasingly in the translation industry, there is a corresponding increase in the need to understand MT quality and, in particular, its impact on endusers. To date, little work has been carried out to investigate the acceptability of MT output among end-users and, ultimately, how acceptable they find it. This article reports on research conducted to address that gap. End-users of instructional content machine-translated from English into German, Simplified Chinese and Japanese were engaged in a usability experiment. Part of this experiment involved giving feedback on the acceptability of raw machine-translated content and lightly postedited (PE) versions of the same content. In addition, a quality review was carried out in collaboration with an industry partner and experienced translation quality reviewers. The translation qualityassessment (TQA) results from translators reflect the usability and satisfaction results by end-users insofar as the implementation of light PE both increased the usability and acceptability of the PE instructions and led to satisfaction being reported. Nonetheless, the raw MT content also received good scores, especially for terminology, country standards and spelling.
Metadata
Item Type:Article (Published)
Refereed:Yes
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Applied Language and Intercultural Studies
Research Initiatives and Centres > ADAPT
Publisher:Hoger Instituut voor Vertalers en Tolken
Official URL:https://lans-tts.uantwerpen.be/index.php/LANS-TTS/...
Copyright Information:© 2017 Hoger Instituut voor Vertalers en Tolken
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:23082
Deposited On:13 Mar 2019 12:57 by Thomas Murtagh . Last Modified 20 Jan 2021 16:32
Documents

Full text available as:

[thumbnail of Acceptability of machine-translated content A multi-language evaluation by translators and end-users.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
508kB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record